Abstract
Rework risks have been a major challenge in the construction industry that constantly affects project schedules and threatens on-time project completion. Traditional project scheduling methods are not capable of modeling rework relationships between activities and mitigating the impact of resulting uncertainties during the development of project schedules. To address this challenge, a critical chain design structure matrix (CCDSM) method is proposed in this paper. The CCDSM method aims to develop construction project schedules that are adaptive to rework scenarios and robust against rework risks. The CCDSM method models and displays large-scale rework relationships among activities and introduces a new rework buffer to quantitatively represent the impact of rework instances in project schedules. A max-plus algorithm is adopted in CCDSM to transform complex logic relationships into simple matrix operations, reducing computational load of schedule generation. A case study was conducted to demonstrate the implementation of the CCDSM method and assess its effectiveness in addressing rework risks. The results showed that the CCDSM is a promising tool to generate schedules, which could improve on-time project completion rate and reduce impacts of varying rework scenarios on project execution.
Highlights
Rework has been regarded as one of the major challenges that can adversely affect project performance in the construction industry [1]
A case study was conducted to demonstrate the implementation of the critical chain design structure matrix (CCDSM) method and assess its effectiveness in addressing rework risks
The results suggested that the CCDSM-based schedule, which took into consideration rework relationships and had a duration of 102 days, significantly outperformed the CCPM-based schedule in ensuring on-time completion of the case project that was faced with typical rework risks
Summary
Rework has been regarded as one of the major challenges that can adversely affect project performance in the construction industry [1]. Buffers in the CCPM can aggregate uncertainties in project execution, which are reflected as blocks of resource or time redundancy in project schedules, it is still difficult to model large-scale rework relationships between activities using the CCPM [5] To further address this challenge, a design structure matrix (DSM) method has been introduced, which is designed to represent the dependency or information flow between activities, providing an effective representation of rework instances [5]. Most of the current tools for managing rework are reactive, can barely compute and diagram rework instances with satisfactory accuracy, and focus on measuring the rework risk of activity duration rather than that of overall project completion time. The detailed design of the CCDSM and a case study that demonstrates the effectiveness of the CCDSM in addressing rework risks in construction projects are presented in the remainder of this paper
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